Description
Medha Joshi explores the critical role of load forecasting in the electricity sector, emphasizing its significance in decision-making processes. Her work delves into the development of an intelligent and efficient artificial neural network (ANN) approach specifically tailored for short-term electric load forecasting. By leveraging advanced algorithms and data analysis techniques, the book aims to enhance the accuracy and efficiency of predicting electricity demand, addressing the complexities and challenges faced in this dynamic field.
Through comprehensive insights and innovative methodologies, Joshi not only discusses the theoretical underpinnings of ANN but also provides practical applications that can benefit industry professionals. Readers will gain valuable knowledge on optimizing energy distribution and management, making this book an essential resource for those looking to improve forecasting methods in the ever-evolving landscape of the energy market.
Through comprehensive insights and innovative methodologies, Joshi not only discusses the theoretical underpinnings of ANN but also provides practical applications that can benefit industry professionals. Readers will gain valuable knowledge on optimizing energy distribution and management, making this book an essential resource for those looking to improve forecasting methods in the ever-evolving landscape of the energy market.
Book Details
Format
Paperback
Pages
148 pages
Language
English
Published
Dec 28, 2016
Publisher
LAP LAMBERT Academic Publishing
ISBN-10
3659944866
ISBN-13
9783659944864